我想从dt2
中减去dt1
来生成dt3
中所示的输出。然后,我想对dt3
进行子集设置,以便仅保留包含负值的行(如dt4
)。
dt1 <- data.table(
UID=c("A001","A002","A003","B001","B002","B003","C001","C002","C003"),
Var1=c(100, 200, 300, 400, 500,600,700,800,900),
Var2=c(1000, 2000, 3000, 4000, 5000,6000,7000,8000,9000),
Var3=c(10000, 20000, 30000, 40000, 50000,60000,70000,80000,90000),
Var4=c(15000, 25000, 35000, 45000, 55000,65000,75000,85000,95000))
dt2 <- data.table(
UID=c("A001","A003","B001","B003","C001","C003"),
Var1=c(10, 20, 30, 40, 50,950),
Var2=c(100, 2500, 300, 400, 500,600),
Var3=c(1000, 2000, 3000, 4000, 5000,6000))
dt3 <- data.table(
UID=c("A001","A002","A003","B001","B002","B003","C001","C002","C003"),
Var1=c(90, 200, 280, 370, 500,560,650,800,-50),
Var2=c(900, 2000, -500, 3700, 5000,5600,6500,8000,8400),
Var3=c(9000, 20000, 28000, 37000, 50000,56000,65000,80000,84000),
Var4=c(15000, 25000, 35000, 45000, 55000,65000,75000,85000,95000))
dt4 <- dt3[c(3,9),]
答案 0 :(得分:0)
我发现首先将其转换为长格式更为容易。
library(data.table)
dt1 <- data.table(
UID=c("A001","A002","A003","B001","B002","B003","C001","C002","C003"),
Var1=c(100, 200, 300, 400, 500,600,700,800,900),
Var2=c(1000, 2000, 3000, 4000, 5000,6000,7000,8000,9000),
Var3=c(10000, 20000, 30000, 40000, 50000,60000,70000,80000,90000),
Var4=c(15000, 25000, 35000, 45000, 55000,65000,75000,85000,95000))
dt2 <- data.table(
UID=c("A001","A003","B001","B003","C001","C003"),
Var1=c(10, 20, 30, 40, 50,950),
Var2=c(100, 2500, 300, 400, 500,600),
Var3=c(1000, 2000, 3000, 4000, 5000,6000))
dt2 <-
melt(dt2, "UID")[melt(dt1, "UID"), on = c("UID", "variable")][
, sum(i.value, -1 * value, na.rm = TRUE), .(UID, variable)]
dt3 <- dcast(dt2, UID ~ variable)
dt4 <- dcast(dt2[UID %in% dt2[V1 < 0, UID]], UID ~ variable)
答案 1 :(得分:0)
另一种可能的方法:
DT <- copy(dt1)
#subtracting
cols <- setdiff(names(dt2), "UID")
DT[dt2, on=.(UID), (cols) := .SD - mget(paste0("i.", cols)), .SDcols=cols]
#subsetting
DT[Reduce(`|`, lapply(DT, `<`, 0))]
输出:
UID Var1 Var2 Var3 Var4
1: C003 -50 8400 84000 95000